作者
Junjie Qin,Yingrui Li,Zhiming Cai,Shenghui Li,Jianfeng Zhu,Fan Zhang,Suisha Liang,Wenwei Zhang,Yuanlin Guan,Dongqian Shen,Yangqing Peng,Dongya Zhang,Zhuye Jie,Wenxian Wu,Youwen Qin,Wenbin Xue,Junhua Li,Lingchuan Han,Dong-Hui Lu,Peixian Wu,Dai Yali,Xiaojuan Sun,Zesong Li,Ai-Fa TANG,Shilong Zhong,Xiaoping Li,Wei–Neng Chen,Ran Xu,Mingbang Wang,Qiang Feng,Meihua Gong,Jing Yu,Yanyan Zhang,Ming Zhang,Torben Hansen,Gastón Sánchez,Jeroen Raes,Gwen Falony,Shujiro Okuda,Mathieu Almeida,Emmanuelle Le-chatelier,Pierre Renault,Nicolas Pons,Jean-Michel Batto,Zhaoxi Zhang,Hua Chen,Ruifu Yang,Wei‐Mou Zheng,Songgang Li,Huanming Yang,Wei Wang,S. Dusko Ehrlich,Rasmus Nielsen,Oluf Pedersen,Karsten Kristiansen,Jun Wang
摘要
Assessment and characterization of gut microbiota has become a major research area in human disease, including type 2 diabetes, the most prevalent endocrine disease worldwide. To carry out analysis on gut microbial content in patients with type 2 diabetes, we developed a protocol for a metagenome-wide association study (MGWAS) and undertook a two-stage MGWAS based on deep shotgun sequencing of the gut microbial DNA from 345 Chinese individuals. We identified and validated approximately 60,000 type-2-diabetes-associated markers and established the concept of a metagenomic linkage group, enabling taxonomic species-level analyses. MGWAS analysis showed that patients with type 2 diabetes were characterized by a moderate degree of gut microbial dysbiosis, a decrease in the abundance of some universal butyrate-producing bacteria and an increase in various opportunistic pathogens, as well as an enrichment of other microbial functions conferring sulphate reduction and oxidative stress resistance. An analysis of 23 additional individuals demonstrated that these gut microbial markers might be useful for classifying type 2 diabetes.